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Monte Carlo Simulations

Optimal phase space sampling for Monte Carlo simulations of Heisenberg spin systems

Optimal phase space sampling for Monte Carlo simulations of Heisenberg spin systems

... In summary, we have developed an adaptive algorithm for the optimal phase space sampling in Monte Carlo simulations of 3D Heisenberg spin systems. The proposed adaptive algo­ rithm modiies adaptively ...

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Monte Carlo simulations guided by imaging to predict the in vitro ranking of radiosensitizing nanoparticles

Monte Carlo simulations guided by imaging to predict the in vitro ranking of radiosensitizing nanoparticles

... 2 Monte Carlo approaches: 1) a classical one, not taking the cellular biodistribution of NP into account, we call it scenario A and 2) our virtual screening that is called scenario ...the Monte ...

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Self-assembly of surfactants in a supercritical solvent from lattice Monte Carlo simulations

Self-assembly of surfactants in a supercritical solvent from lattice Monte Carlo simulations

... large-scale Monte Carlo ...canonical Monte Carlo simulations at a supercritical temperature, varying the number of surfactant head and tail segments, the solvent density and the ...

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MONTE CARLO SIMULATIONS FOR UNCERTAINTY QUANTIFICATION: MATHEMATICAL FOUNDATION AND IMPLICATION OF UNDERLYING ASSUMPTIONS

MONTE CARLO SIMULATIONS FOR UNCERTAINTY QUANTIFICATION: MATHEMATICAL FOUNDATION AND IMPLICATION OF UNDERLYING ASSUMPTIONS

... This case study demonstrates the application of Ordinary and Markov-Chain Monte Carlo simulations in quantifying uncertainty of production forecast of a field in the Niger Delta.The study objective ...

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Level Spectroscopy in Quantum Antiferromagnets Using Monte Carlo Simulations

Level Spectroscopy in Quantum Antiferromagnets Using Monte Carlo Simulations

... However, Monte Carlo simulations show [3] that the ground state continues to have long- range Néel order when S = 1/2, with the order parameter reduced to about 40% of its classical ...

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Understanding the Assembly Mechanism of Proteins from Monte Carlo Simulations

Understanding the Assembly Mechanism of Proteins from Monte Carlo Simulations

... way, Monte Carlo simulations have been applied to get further insight into assembly process of various proteins by using their anisotropic character both in their shape and in their interactions ...

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Monte Carlo simulations of liquid crystals near rough walls

Monte Carlo simulations of liquid crystals near rough walls

... The effect of surface roughness on the structure of liquid crystalline fluids near solid substrates is studied by Monte Carlo simulations. The liquid crystal is modeled as a fluid of soft ellipsoidal ...

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Exponentially fast Monte Carlo simulations for non equilibrium systems

Exponentially fast Monte Carlo simulations for non equilibrium systems

... fast Monte Carlo simulations we reveal plateaus, the essentially flat regions in the probability distribution, which can be observed close to boundaries of ...the simulations has stimulated a ...

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Monte carlo simulations of the TOSCA spectrometer: Assessment of current performance and future upgrades

Monte carlo simulations of the TOSCA spectrometer: Assessment of current performance and future upgrades

... Abstract. We describe and assess the performance of a detailed computational description of the high-resolution TOSCA spectrometer at ISIS using neutron-transport Monte Carlo simulations. Extensive ...

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Monte carlo simulations of Yttrium reaction rates in Quinta uranium target

Monte carlo simulations of Yttrium reaction rates in Quinta uranium target

... method. Monte Carlo simulations of the reaction rates leading to production of different isotopes were performed in the MCNPX transport code and compared with the experimental results obtained from ...

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Misspecification of Generalized Autoregressive Score Models: Monte Carlo Simulations and Applications

Misspecification of Generalized Autoregressive Score Models: Monte Carlo Simulations and Applications

... a Monte Carlo approach was investigated and showed that an incorrect specification of the innovations together with the reduction of the parameter space to the weak stationarity region, could give rise to a ...

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Calculation of Photon Path Changes due to Scatter in Monte Carlo Simulations

Calculation of Photon Path Changes due to Scatter in Monte Carlo Simulations

... K. Monte Carlo and discrete-ordinate simulations of spectral radiances in a coupled air-tissue ...in Monte Carlo simulations in biomedical ...

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Macroion solutions in the cell model studied by field theory and Monte Carlo simulations

Macroion solutions in the cell model studied by field theory and Monte Carlo simulations

... We will here examine the case where the dielectric constant of the macroions ε 0 is the same as that of the surrounding solvent ε, i.e., ε 0 = ε. Figure 1 shows the normalized counterion number density as a function of ...

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Detecting long memory: Monte Carlo simulations and application to daily streamflow processes

Detecting long memory: Monte Carlo simulations and application to daily streamflow processes

... Abstract. The Lo’s modified rescaled adjusted range test (R/S test) (Lo, 1991), GPH test (Geweke and Porter-Hudak, 1983) and two approximate maximum likelihood estimation methods, i.e., Whittle’s estimator (W-MLE) and ...

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Monte Carlo simulations of amphiphilic systems

Monte Carlo simulations of amphiphilic systems

... from Monte Carlo simulations, low-temperature series and renormalisation group analysis generated a com­ plete phase ...The Monte Carlo simulations were carried out using a ...

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Convergence of Monte Carlo simulations involving the mean-reverting square root process

Convergence of Monte Carlo simulations involving the mean-reverting square root process

... The mean-reverting square root process is a stochastic differential equa- tion (SDE) that has found considerable use as a model for volatility, interest rate, and other financial quantities. The equation has no general, ...

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Monte Carlo simulations of random non commutative geometries

Monte Carlo simulations of random non commutative geometries

... Random non-commutative geometries are introduced by integrat- ing over the space of Dirac operators that form a spectral triple with a fixed algebra and Hilbert space. The cases with the simplest types of Clifford ...

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Atomistic-object kinetic Monte Carlo simulations of irradiation damage in tungsten

Atomistic-object kinetic Monte Carlo simulations of irradiation damage in tungsten

... Kinetic Monte Carlo is to describe each object with atomic resolution: provided each atomic configuration has a padding boundary of perfect crystal, the defect regions are spatially localised, and provided ...

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Computation of the Endogenous Mortgage Rates with Randomized Quasi-Monte Carlo Simulations

Computation of the Endogenous Mortgage Rates with Randomized Quasi-Monte Carlo Simulations

... use Monte Carlo simulation. Additionally, the Monte Carlo method has a very important advantage for practitioners in the sense that one could very easily implement different kinds of interest ...

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Monte Carlo Simulations of Crack Propagation at Tee Joint along Pipe

Monte Carlo Simulations of Crack Propagation at Tee Joint along Pipe

... grain boundary character distributions. The fundamental Markov Chain theory requires that the summation of the probabilities from any transition point is one. This can be adapted easily for a single crack that does not ...

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